System identification: theory for the user
System identification: theory for the user
Structure identification of nonlinear dynamic systems—a survey on input/output approaches
Automatica (Journal of IFAC)
Design of multi-level pseudo-random signals for system identification
Perturbation signals for system identification
Automatica (Journal of IFAC)
Paper: Dual adaptive control of chip refiner motor load
Automatica (Journal of IFAC)
Stabilization of nonholonomic integrators via logic-based switching
Automatica (Journal of IFAC)
Control of systems integrating logic, dynamics, and constraints
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief Frequency response function measurements in the presence of nonlinear distortions
Automatica (Journal of IFAC)
Brief Wiener models of direction-dependent dynamic systems
Automatica (Journal of IFAC)
Application of multi-level signals to the identification of direction-dependent processes
Automatica (Journal of IFAC)
Brief Fast approximate identification of nonlinear systems
Automatica (Journal of IFAC)
Realisation and estimation of piecewise-linear output-error models
Automatica (Journal of IFAC)
Identification of piecewise affine systems via mixed-integer programming
Automatica (Journal of IFAC)
Analysis and synthesis of switched linear control systems
Automatica (Journal of IFAC)
| Hi-index | 22.14 |
In this paper, a survey on systems which exhibit gains and/or dynamics depending on the input or output direction is presented. Several examples of such systems covering a wide range of application areas, and the causes of their direction-dependent responses, are given. Direction-dependent systems are mathematically classified into three classes, depending on their state-space representation and switching function. The related linear dynamic, transient, and steady-state characteristics of these systems are investigated. Approaches to model direction-dependent systems using Wiener models, piecewise linear models, bilinear models and recurrent neural networks are described. Three application examples are used to illustrate the usefulness of the direction-dependent description. The advantages and disadvantages of direction-dependent models, as well as possible directions for future work, are pointed out.